Reproducibility package — Two decades of shigellosis in the Republic of Korea (2001–2024): domestic decline, persistent imported burden, annual periodicity and a southwestern provincial cluster
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This Zenodo archive is the reproducibility package accompanying the manuscript "Two decades of shigellosis in the Republic of Korea (2001–2024): domestic decline, persistent imported burden, annual periodicity and a southwestern provincial cluster" submitted to Zoonoses and Public Health. The package bundles all input datasets, analytic Python scripts, derived sensitivity tables, manuscript figures and a sigungu-level animated choropleth (Supplementary Movie S1) needed to reproduce the analyses end-to-end. Source data- Korea Disease Control and Prevention Agency (KDCA) Notifiable Infectious Disease weekly aggregates, 2001–2024- KDCA yearly aggregates with sex/age stratification- Sigungu-level yearly cases joined to Korean Statistical Information Service (KOSIS) resident-registration population- Korea Tourism Organization outbound-traveler series (KOSIS DT_1B28014) used in scripts/shig_analysis3_travel_norm.py Methods reproduced by the bundled scripts- Hamed–Rao modified Mann–Kendall and Sen's slope- Negative-binomial GLM (NB2) with log-population offset- Exhaustive 0–3 breakpoint search with BIC selection and parametric-bootstrap 95% CIs (10,000 replicates)- Continuous wavelet transform (Morlet, ω₀ = 6) with AR(1) red-noise null and STL detrending- Global Moran's I with KNN-2 fallback and LISA, plus weighting-scheme sensitivity (KNN k ∈ {1, 4, 5}; 200-km distance band)- Empirical Bayes (Marshall, 1991) shrinkage of sigungu-level rates and population-weighted aggregation to sido- Per-traveler normalisation of imported cases Contents- README.md, LICENSE, CITATION.cff, requirements.txt- data/ — five CSVs (raw and harmonised KDCA datasets; sigungu-level yearly file with KOSIS population)- scripts/ — three analytic Python files- tables/main/ — Table 2 of the manuscript (bootstrap breakpoint CIs)- tables/supplementary/ — seven supplementary tables S2–S7- figures/ — Figures 1–4 (PNG) and Supplementary Movie S1 (MP4 + GIF)- docs/file_inventory.md — file-by-file description and approximate sizes Ethics: The reanalysis uses only de-identified, publicly aggregated KDCA surveillance data. The requirement for individual informed consent was waived by the Hongik University Institutional Review Board (approval number 7002340-202511-HR-012). License: Creative Commons Attribution 4.0 International (CC BY 4.0). Contact: Seongdae Kim, Ph.D. — Department of Biohealth Convergence Open Sharing System, Hongik University — kimsd@hongik.ac.kr



